"Error prevention error detection and error control" Essays and Research Papers

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    Relevant facts/ Background Avianca Flight 52 touched the ground for a final time on January 25 1990‚ 16 miles from JFK airport in Cove Neck‚ Long Island‚ N.Y.‚ completely out of fuel. The Boeing 707-321B was carrying 158 people coming from Medellin‚ Columbia‚ in which 85 people survived. The crash of Avianca Flight 52 was the largest rescue operation in New York prior to 9/11. There was a severe blizzard on the north-east coast of the U.S. causing bad weather with a low pressure system and wind

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    features arise in the study of the learners’ language‚ most especially errors in writing. In this article‚ I will give a brief background of the errors of the learners. I will also try to encapsulate some of my observations and experiences in dealing with language errors and probably suggest ways on how to appropriately address them. Hopefully‚ this will be an eye opener to a lot of English language teachers and practitioners that errors are important in both learning and teaching ESL. The Context

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    of Human Error in an Aircraft Crew Resource Management (CRM) is “… the proper response to threats to safety and the proper management of crew error‚” (Kanki 61). Human error is the cause of over half of all airplane crashes and is completely preventable (Kebabiian 2). Human error‚ also known as human factors‚ is any mistake that can be made that is a natural result of being humans (Human Error 1). The application of Crew Resource Management in a flight setting can help reduce human error in an aircraft

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    The first is entitled “College-level L2 English writing competence: conjunction and errors” by Mo Li. The study is conducted to examine the fluency‚ complexity and accuracy of college-level L2 English writing‚ analyze the errors produced by subjects‚ and uncover the features of the writing. The research focused on conjunction and error of conjunction which are used in cohesion and coherence as the main data which is analyzed. To find out the data‚ the researcher

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    The question stated that when a Trial Balance balances‚ it means the accounts are free of errors. I disagree with the statement. There may still be errors even if the trial balance is balances. There are six types of errors. The first type of error is the “error of omission” and the word omission mean left out. Its mean that a transaction is not recorded in the books of original entry‚ which mean both the debit and credit effects of the transaction are not shown in the Trial Balance. For example

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    ERROR AVOIDANCE IN POST MODERN/COMPLEX ADAPTIVE SYSTEM Robyn Dougherty MHA 601 Dr. Hwang Ji-lu February 23‚ 2014 Introduction In health care with the postmodernism (PM) and complex adaptive system (CAS)‚ strategic thinking is an ability to view operations‚ issues and problems as they transform over years. The error avoidance is determining the causes of the problem outside the department‚ and the health care setting‚ to customers‚ competitors and environmental forces

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    Brief Analysis of English Major Students’ Intonation Errors and Countermeasures Abstract: This paper analyses the discourse of 90 English major prostgraduate students from Xuzhou Normal University‚ and points out the problems about their English intonation‚ proposes to strengthen the awareness of the importance of students’ intonation‚ to improve their intonation situation with some teaching methods. Keywords: discourse analysis English major intonation Chapter One Introduction Intonation

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    “they are both products of the same process”. According to Roger Von Oech‚ almost everyone‚ from an early age‚ are taught that right answers are good and wrong answers are bad; especially if you went to school. People learn that doing mistakes and errors is wrong. Roger Von Oech says that with a fail or succeed attitude‚ people aren’t going to be taking up many chances. With an attitude like this they aren’t going to learn from their mistakes. From another point of view‚ “to err is wrong” makes sense

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    AGUILAR‚ Janica Mara Y. BERBOSO‚ Kevin Leo C. CAYUBE‚ Katherine Kate Z. Prof. Ria Sagum Advisor PHILEX: Philippine Land Law Expert Chatbot Abstract Keywords: Chatbot‚ Natural Language Processing (NLP)‚ First-Order Predicate Logic‚ Natural Language Generation (NLG)‚ Precision and Recall The researchers tend to work on an expert system with integration of Philippine land laws. They chose to focus on land laws since one of the major problems of the Filipinos who seek law

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    submitted in partial Intrusion Detection and Prevention Systems Topic Area: Intrusion Detection‚ Intrusion Prevention Systems Keywords associated with this project: computer network‚ network security‚ malicious‚ vulnerabilities‚ attack‚ threats‚ quality of services‚ security policies. MSc Course studied that contribute towards this dissertation: Network Technologies‚ Network security‚ Network Security management system. Introduction: An intrusion detection system (IDS) is a device or

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