...that they have implications for everyone, whether we want it or not. Big data is one of those things, and is completely transforming the way we do business and is impacting most other parts of our lives. The basic idea behind the phrase “Big Data” is that everything we do is increasingly leave a digital trace (or data), which we can use and analyze. Big Data therefore refers to our ability to make use of the ever-increasing volumes of data. There are of course pros and cons that involve with Big Data. For the pros, Big Data involves with solving the world’s problems. Businesses can use Big Data to help them make a better decision, based on big data they can predict the market conditions and whether they should increase or decrease production. Talking about the environment, environmental data help to predict the climate changes, and helped to improve farming methods. People could also use the present and historical medical data coupled with genome mapping to find solutions to disease or genetic disorders. The are also cons for using big data such as the threat of theft of data. Target was one of the examples, million accounts of their customers got hacked and their credit card information was stolen. The other threat is privacy. Lots of these data contain personal identifiable information. Even though, there is no specific name on the data, but after having the proper analytics, an eerily accurate profile of someone can be...
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...dictionary. Eugenics came to exist back in Nazi Germany and was majorly developed by one Francis Galton. The idea was to create a "superior race" known as the Aryan race. The Aryan race had very set specifications, blonde hair, blue eyes and fair skin. During that time, eugenics was mainly achived by selective breeding, meaning that individuals would reproduce with other individuals who fufilled the Aryan requirements. Today, in the 21st century, eugenics is more scientific. In 2003, scientists finished mapping out the human genome- a blueprint for the human race. The practice was first introduced to the USA in 2009 at a fertility clinic in Los Angeles, California. The clinic tried to offer hair and eye colour choices to prospective parents. This attempt caused a lot of public back lash. The process takes place by collecting eggs from the mother which are then fertilized in vitro with the father's sperm. After a successful fertilization, many genetic tests, called pre-implantion genetic diagnosis or PGD, are run to determine if the embryo has any defects such as down syndrome, heart issues, spina bifada, deafness and blindness. If the embryos pass this stage, they go into more indepth and specific tests. The parents set out a list of desirable and undesirable characteristics such as hair colour, eye colour, and skin colour, height and even their build. In some cases, the parents can select their future child's attitude, temperment and other characteristics. In some places, genetically...
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...Designer babies Since the discovery of DNA in the late 1950's, the possibility of genetic modification of animals and plants has become a reality. The term designer baby refers to the genetic modification of the child in its early fetal life. The world of genetic modification has long moved on from the days of Dolly the Sheep. How is a designer baby created? * An embryo is created by in-vitro fertilization (IVF). * A single cell is removed from that embryo within the first 5 days of its creation. * The cell is genetically tested. * The parents decide whether to discard the embryo or implant it in the mother's womb. Human Genome Project The Human Genome Project (HGP) was the international, collaborative research program whose goal was the complete mapping and understanding of all the genes of human beings. All our genes together are known as our "genome." The Human Genome Project started in the 1980s as an organized effort to provide the information researchers need to understand the genetic basis of all disease. GINA is the first major federal law to come out of the Ethical, Legal and Social Implications portion of the Human Genome Project. This law made sure that people were treated fairly when it came to getting a job and stuff like that even if they had a disorder or disease Literature review Mark Hughes, a pioneer of the PGD process and director of Genesis Genetics Institute says, “It’s technically feasible and it can be done,” adding that “no...
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...Human Gender Selecting Jessica McIntosh Medical Office Management Dr. Bridget Kelly Bryant & Stratton ABSTRACT This paper aims to provide a concise review of the ethical issues that are commonly raised in the debate between non-medical sex selection and natural selection. Background information on sex selection technologies is provided, as is a description of the process regarding the medical procedure. Arguments for and against gender selection will be explained and compared and conclusions will be drawn. Included will be the pros and cons of gender selection. Finally, the views of people I know as well as my own. Aside from cases in which it is used to prevent an inherited disease more likely to strike one gender than the other, should parents be permitted to use technology that selects the gender of their children? One of the first pieces of information that parents receive about a newborn baby is its gender. The widespread use of ultrasound technology during pregnancy even allows many parents to find out whether their baby is male or female before it is born. In recent years, technology has enabled parents to go one step further. They can now, with a good chance of success, take steps to select the gender of their children. While gender selection is legal in the U.S., it has generated some controversy among the medical advisory groups that tackle questions of bioethics. For instance, although the sperm-separation method is widely endorsed for families...
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...Breast Cancer… Is Genetic Screening the Answer? By: Wendy Wilburn Biology 2020 – Biology II Dr. Robinson April 25, 2015 The Great Genetic Screening Debate ABSTRACT Within the past thirty years, researchers have found strong evidence that our DNA or genetic material may be a predictive factor for disease probability. This has lead to the development of genetic testing after the isolation of certain candidate genes. Although predictive genetic screening is only available for a selective number of diseases, its ramifications have become hot topics for debated issues in a broad range of arenas from governmental agencies to religious applications. (1). This debate began in 1993 when researchers isolated the BRCA1 gene, which is associated with the increased risk of developing breast cancer (1). The discovery of this gene leads to hope and speculation for development of a predictive genetic test that could identify women at risk for developing breast cancer. The purpose of my paper is to delve into the positives and negatives of predictive genetic testing, as it is applied to breast cancer precursors. INTRODUCTION Before I go into details about how these genetic tests were developed, I want to first discuss how certain genes can trigger an inactive disease. The human body requires the actions of many proteins working together. For a protein to work properly, an intact gene must be encoded for a specific protein. A mutation describes a gene which has genetically...
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...INFORMS Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead Author(s): Jyrki Wallenius, Peter C. Fishburn, Stanley Zionts, James S. Dyer, Ralph E. Steuer and Kalyanmoy Deb Source: Management Science, Vol. 54, No. 7 (Jul., 2008), pp. 1336-1349 Published by: INFORMS Stable URL: http://www.jstor.org/stable/20122479 Accessed: 15-10-2015 13:28 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://www.jstor.org/page/ info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. INFORMS is collaborating with JSTOR to digitize, preserve and extend access to Management Science. http://www.jstor.org This content downloaded from 130.243.57.230 on Thu, 15 Oct 2015 13:28:04 UTC All use subject to JSTOR Terms and Conditions SCIENCE MANAGEMENT WjEE. Vol. 54, No. 7, July 2008, 1336-1349 pp. DOI io.l287/nmsc.l070.0838 ISSN 0025-19091EISSN1526-55011081540711336@2008 INFORMS Criteria Decision Making, Multiattribute Multiple Utility Theory: Recent Accomplishments and What Lies Ahead School Helsinki Jyrki Wallenius of...
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...CHAPTER 8 IDENTIFYING MARKET SEGMENTS AND TARGETS LEARNING OBJECTIVES In this chapter, we will address the following questions: 1. What are the different levels of market segmentation? 2. In what ways can a company divide a market into segments? 3. What are the requirements for effective segmentation? 4. How should business markets be segmented? 5. How should a company choose the most attractive target markets? CHAPTER SUMMARY 1. Target marketing includes three activities: market segmentation, market targeting, and market positioning. Market segments are large, identifiable groups within a market. 2. Two bases for segmenting consumer markets are consumer characteristics and consumer responses. The major segmentation variables for consumer markets are geographic, demographic, psychographic, and behavioral. Marketers use them singly or in combination. 3. Business marketers use all these variables along with operating variables, purchasing approaches, and situational factors. 4. To be useful, market segments must be measurable, substantial, accessible, differentiable, and actionable. 5. We can target markets at four main levels: mass, multiple segments, single (or niche) segment, and individuals. 6. A mass market targeting approach is adopted only by the biggest companies. Many companies target multiple segments defined in various ways such as various demographic groups who seek the same product benefit. 7. A niche is a more narrowly defined group...
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...government policy on GMOs are formed. The public in many countries distrusts GMOs. They are often seen in the context of globalization and of privatization and even as “antidemocratic” or “meddling with evolution”. There are as yet few perceived advantages for the public, because GMO applications to date have concentrated on reducing costs for producers without direct consumer benefits. In particular, it has been a tactical error of the industry to concentrate on pesticide-resistance as one of the earliest applications, as this has stimulated environmental concerns. The public often confuses the industry with the science. And consumers worry about risk, not about scientific freedom.Scientists in both the private and public sectors clearly see genetic modification as a major new set of tools. They are also participants and spectators in a major shift of research from the public to the private sector, which will undoubtedly influence the future direction ofresearch and research investment. As shareholders in the GMO debate, scientists must recognize that...
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...Group 1 Team Assignment CSEC 630- 9026 Jeff Daniels Written by: Kevin Alton, Nadia Iqbal, and Alex Polevoy July 2015 Table of Contents Introduction.…………………………………………………………………..………….3 Section I: iTrust Threats & Vulnerabilities and Countermeasures.……………..…………..3 Section II: Recommended Changes to Security Management Policies………...……………..7 Section III: Adaption of Requirements to Reduce Security Risk……….……………....…......11 Conclusion. …………………………………….…………………………………….…21 References ……………………………………………………………...………………23 Introduction There are multiple benefits of electronic health records (EHR), which include improved care, quicker access to patient files, and increased physician oversight of care. However, with the benefit of convenience of using EHRs, comes the responsibility of protecting electronic protected health information (ePHI) and safeguarding sensitive patient data. The Health Insurance Portability and Accountability Act (HIPAA) focuses on protecting ePHI with guidelines to ensure organizations have implemented “reasonable and appropriate” security measures to adhere to HIPAA rules and maintain patient confidentiality. HIPAA requires covered entities to conduct risk assessments to verify compliance and attempt to uncover areas where ePHI is at risk of...
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...ARTIFICIAL NEURAL NETWORKS METHODOLOGICAL ADVANCES AND BIOMEDICAL APPLICATIONS Edited by Kenji Suzuki Artificial Neural Networks - Methodological Advances and Biomedical Applications Edited by Kenji Suzuki Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2011 InTech All chapters are Open Access articles distributed under the Creative Commons Non Commercial Share Alike Attribution 3.0 license, which permits to copy, distribute, transmit, and adapt the work in any medium, so long as the original work is properly cited. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published articles. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Ivana Lorkovic Technical Editor Teodora Smiljanic Cover Designer Martina Sirotic Image Copyright Bruce Rolff, 2010. Used under license from Shutterstock.com First published March, 2011 Printed in...
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...robinson@earthopensource.org June 2012 Disclaimer The views and opinions expressed in this paper, or otherwise published by EOS, are those of the authors and do not represent the official policy, position, or views of other organizations, universities, companies, or corporations that the authors may be affiliated with. GMO Myths and Truths 2 About the authors Michael Antoniou, PhD is reader in molecular genetics and head, Gene Expression and Therapy Group, King’s Cols: lege London School of Medicine, London, UK. He has 28 years’ experience in the use of genetic engineering technology investigating gene organisation and control, with over 40 peer reviewed publications of original work, and holds inventor status on a number of gene expression biotechnology patents. Dr Antoniou has a large network of collaborators in industry and academia who are making use of his discoveries in gene control mechanisms for the production of research, diagnostic and therapeutic products and safe and efficacious human somatic gene therapy for inherited and acquired genetic disorders. Claire Robinson, MPhil, is research director at Earth Open Source. She has a background in investigative reporting and the communication of topics relating to public health, science and policy, and the environment. She is an editor at GMWatch (www.gmwatch.org), a public information service...
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...NINTH EDITION Burton’s MICROBIOLOGY FOR THE HEALTH SCIENCES Paul G. Engelkirk, PhD, MT(ASCP), SM(AAM) Biomedical Educational Services (Biomed Ed) Belton, Texas Adjunct Faculty, Biology Department Temple College, Temple, TX Janet Duben-Engelkirk, EdD, MT(ASCP) Biomedical Educational Services (Biomed Ed) Belton, Texas Adjunct Faculty, Biotechnology Department Temple College, Temple, TX Acquisitions Editor: David B. Troy Product Manager: John Larkin Managing Editor: Laura S. Horowitz, Hearthside Publishing Services Marketing Manager: Allison Powell Designer: Steve Druding Compositor: Maryland Composition/Absolute Service Inc. Ninth Edition Copyright © 2011 Lippincott Williams & Wilkins, a Wolters Kluwer business © 2007 Lippincott Williams & Wilkins, © 2004 Lippincott Williams & Wilkins, © 2000 Lippincott Williams & Wilkins, © 1996 Lippincott-Raven, © 1992, 1988, 1983, 1979 JB Lippincott Co. 351 West Camden Street Baltimore, MD 21201 Printed in the People’s Republic of China All rights reserved. This book is protected by copyright. No part of this book may be reproduced or transmitted in any form or by any means, including as photocopies or scanned-in or other electronic copies, or utilized by any information storage and retrieval system without written permission from the copyright owner, except for brief quotations embodied in critical articles and reviews. Materials appearing in this book prepared by individuals as part of their official duties as U.S. government employees...
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...SAGE India website gets a makeover! Global Products Enhanced Succinct Intuitive THE Improved Interactive Smart Layout User-friendly Easy Eye-catching LEADING WORld’s LEADING Independent Professional Stay tuned in to upcoming Events and Conferences Search Navigation Feature-rich Get to know our Authors and Editors Why Publish with SAGE ? World’s LEADING Publisher and home and editors Societies authors Professional Academic LEADING Publisher Natural World’s Societies THE and LEADING Publisher Natural authors Societies Independent home editors THE Professional Natural Societies Independent authors Societies and Societies editors THE LEADING home editors Natural editors Professional Independent Academic and authors Academic Independent Publisher Academic Societies and authors Academic THE World’s THE editors Academic THE Natural LEADING THE Natural LEADING home Natural authors Natural editors authors home World’s authors THE editors authors LEADING Publisher World’s LEADING authors World’s Natural Academic editors World’s home Natural and Independent authors World’s Publisher authors World’s home Natural home LEADING Academic Academic LEADING editors Natural and Publisher editors World’s authors home Academic Professional authors Independent home LEADING Academic World’s and authors home and Academic Professionalauthors World’s editors THE LEADING Publisher authors Independent home editors Natural...
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...INSURANCE ADVISORS EFFECTIVENESS FOR PUBLIC AND PRIVATE INSURER: A DEMOGRAPHIC STUDY Krishan Kumar Pandey*Manisha Pandey** Manish Kerwar***Ashutosh Khare**** Dharmendra Singh***** Abstract : Few years back insurance was an arcane word for all of us. Insurance is no longer an unexciting business and the insurance advisor an apologetic salesman. New entries have actually changed the rules of the game in the insurance industry. One such change that has made a huge positive impact in the minds of Indian consumers is the product innovation by the insurance companies. New products are being launched; new distribution channels opened and thousands of sales advisers and managers are being recruited every month. This rapid change is demanding new regulations, new methods of management, new methods of operation and ofcourse considerable development in knowledge, attitude and skills of the workforce. Such times demand business/ output focused people who think widely, are confident about taking risks and decisions and prioritise their own and others’ actions to achieve the business need. Without these attributes the growth pattern that has begun will not be sustained. So are these attributes being developed in people? People know what they should do but they do not necessarily know how to do it. This study is well ahead to evaluate the effectiveness of Insurance Advisors. *, * * Faculty in Prestige Institute of Management, Gwalior * * * , * * * * , * * * * * Alumni, Prestige Institute...
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...Deep Learning more at http://ml.memect.com Contents 1 Artificial neural network 1 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Improvements since 2006 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.1 Network function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.2 Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.3 Learning paradigms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.4 Learning algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Employing artificial neural networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.1 Real-life applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.2 Neural networks and neuroscience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.6 Neural network software ...
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